The new essential tool in the current AI landscape is workflow recording. It's essentially a macro in the AI age. Rather than ...

A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...

Having spent years building and scaling artificial intelligence and machine language (AI/ML) solutions at AWS Bedrock and now at Intuit, I've witnessed firsthand the incredible advancements in large ...

LangGraph has been used to create a multi-agent large language model (LLM) coding framework. This framework is designed to automate various software development tasks, including coding, testing, and ...

Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a ...

The b3 is built around a new idea called threat snapshots. Instead of simulating an entire AI agent from start to finish, threat snapshots zoom in on the critical points where vulnerabilities in large ...

Workflow is still at the heart of the new framework. Building on the strengths of the Semantic Kernel and AutoGen agent implementations, the new framework offers support for workflow orchestration and ...

Streamlining email workflows using AI agents powered by large language models (LLMs) offers a practical solution to managing repetitive tasks. By integrating APIs, structured data, and confidence ...

Clearly there is untold business value if organizations can get beyond buzzwords and ChatGPT chatbots to the real promise of agentic AI—but how? Agentic AI is the newest innovation buzzword in legal ...

A compromised n8n instance doesn’t just mean losing one system — it means handing attackers the keys to everything,’ security ...